{"id":"W2918825452","doi":"","title":"Climate change in the cool climate wine regions of Canada: Risks, opportunities and adaptive strategies","year":2018,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Wine; Climatology; Meteorology; Environmental science; Physical geography; Geography; Geology; Biology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001958532,0.0001482121,0.0003060845,0.00005292156,0.000482184,0.0001497182,0.0005169268,0.00004136257,0.00009822672],"category_scores_gemma":[0.0001690006,0.00004482081,0.00006008903,0.0007719253,0.0009385411,0.001046077,0.0001395162,0.0001985855,0.000001922228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002778575,"about_ca_system_score_gemma":0.00011051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02584375,"about_ca_topic_score_gemma":0.2757788,"domain_scores_codex":[0.997685,0.0001331292,0.0004957513,0.0001712049,0.0008950603,0.0006199002],"domain_scores_gemma":[0.9985158,0.0002724698,0.000396566,0.00007023618,0.0005518293,0.0001930515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001904579,0.001539157,0.07931574,0.0008522145,0.0001371284,0.001051942,0.115017,0.000009848682,0.2873042,0.06304596,0.002501679,0.4473206],"study_design_scores_gemma":[0.0001772642,0.001614509,0.9404847,0.0004169833,0.00002213303,0.0001605784,0.0545904,0.0004111991,0.0008355487,0.000230445,0.0008859343,0.0001702965],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901431,0.0002915243,3.151494e-7,0.008433381,0.0001102685,0.0003106332,0.00005315067,0.000004286134,0.0006533551],"genre_scores_gemma":[0.997146,0.001842121,0.00006532846,0.0004019102,0.0005158609,0.00001416838,0.000002390253,8.108915e-7,0.00001146538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.861169,"threshold_uncertainty_score":0.9806433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2856678491939862,"score_gpt":0.3459855772919569,"score_spread":0.06031772809797076,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}